Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17CD12FE0C514EE37476386C89BF56B0B73D1C359CB420944A3FC83AB5BCAC60DA656A9 |
|
CONTENT
ssdeep
|
96:TkJYASzeFvMSfuSTCctutQVpSS8lWUXSFQyX/NwvFdelXhz/hYfYfGJ:QJRSzeFdjWcktQQWltDzJsuA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9a5da1c2c1a59e1f |
|
VISUAL
aHash
|
ff000c1c1c1d0f0f |
|
VISUAL
dHash
|
a05a39283129db1f |
|
VISUAL
wHash
|
ff0c1c1c1c1d0f0f |
|
VISUAL
colorHash
|
02000038000 |
|
VISUAL
cropResistant
|
a05a39283129db1f,a1ababa94b5b5b59 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 55 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)